@InProceedings{wu-chen-chang:2017:I17-3,
  author    = {Wu, Yu-Hsuan  and  Chen, Jhih-Jie  and  Chang, Jason},
  title     = {Verb Replacer: An English Verb Error Correction System},
  booktitle = {Proceedings of the IJCNLP 2017, System Demonstrations},
  month     = {November},
  year      = {2017},
  address   = {Tapei, Taiwan},
  publisher = {Association for Computational Linguistics},
  pages     = {49--52},
  abstract  = {According to the analysis of Cambridge Learner Corpus, using a wrong verb is
	the most common type of grammatical errors. 
	This paper describes Verb Replacer, a system for detecting and correcting
	potential verb errors in a given sentence.  In our approach, alternative verbs
	are considered to replace the verb based on an error-annotated corpus and
	verb-object collocations. 
	The method involves applying regression on channel models, parsing the
	sentence, identifying the verbs, retrieving a small set of alternative verbs,
	and evaluating each alternative. Our method combines and improves channel and
	language models, resulting in high recall of detecting and correcting verb
	misuse.},
  url       = {http://www.aclweb.org/anthology/I17-3013}
}